131 KiB
131 KiB
In [1]:
import pandas as pd
In [2]:
data = pd.read_csv('./data/train_data85.csv') data.head()
Out[2]:
| 地区 | 机组类型 | 参数分类 | 冷却方式 | 锅炉类型 | 机组容量 | 入炉煤低位热值_new | 燃煤挥发份Var_new | 燃煤灰份Aar_new | 服役时长 | CO2_em_air | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 上海 | 纯凝式 | 亚临界 | 水冷 | 煤粉 | 320.0 | 19595.98 | 29.08 | 10.22 | 20.0 | 0.266602 |
| 1 | 上海 | 纯凝式 | 亚临界 | 水冷 | 煤粉 | 320.0 | 19971.78 | 29.08 | 10.22 | 21.0 | 0.260793 |
| 2 | 上海 | 纯凝式 | 亚临界 | 水冷 | 煤粉 | 320.0 | 19993.01 | 29.08 | 10.22 | 19.0 | 0.269131 |
| 3 | 上海 | 纯凝式 | 亚临界 | 水冷 | 煤粉 | 320.0 | 20328.21 | 29.08 | 10.22 | 21.0 | 0.268076 |
| 4 | 上海 | 纯凝式 | 亚临界 | 水冷 | 煤粉 | 600.0 | 20591.00 | 27.79 | 11.00 | 15.0 | 0.254074 |
In [3]:
feature_cols = [x for x in data.columns if x!='CO2_em_air' and x != '服役时长'] feature_cols
Out[3]:
['地区', '机组类型', '参数分类', '冷却方式', '锅炉类型', '机组容量', '入炉煤低位热值_new', '燃煤挥发份Var_new', '燃煤灰份Aar_new']
In [4]:
num_cols = ['机组容量', '入炉煤低位热值_new', '燃煤挥发份Var_new', '燃煤灰份Aar_new'] obj_cols = [x for x in feature_cols if x not in num_cols]
In [5]:
import numpy as np
In [6]:
for col in num_cols: data[col] = np.log1p(data[col]) data[col] = (data[col] - data[col].min()) / (data[col].max() - data[col].min())
In [7]:
use_data = pd.get_dummies(data, columns=obj_cols)
In [8]:
for col in use_data.columns: use_data[col] = use_data[col].astype('float32') feature_cols = [x for x in use_data.columns if x != 'CO2_em_air']
In [9]:
import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from tensorflow.keras import Model
2023-02-15 15:27:24.563456: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
In [10]:
class TransformerBlock(layers.Layer): def __init__(self, embed_dim, num_heads, ff_dim, rate=0.1): super().__init__() self.att = layers.MultiHeadAttention(num_heads=num_heads, key_dim=embed_dim) self.ffn = keras.Sequential( [layers.Dense(ff_dim, activation="relu"), layers.Dense(embed_dim),] ) self.layernorm1 = layers.LayerNormalization(epsilon=1e-6) self.layernorm2 = layers.LayerNormalization(epsilon=1e-6) self.dropout1 = layers.Dropout(rate) self.dropout2 = layers.Dropout(rate) def call(self, inputs, training): attn_output = self.att(inputs, inputs) attn_output = self.dropout1(attn_output, training=training) out1 = self.layernorm1(inputs + attn_output) ffn_output = self.ffn(out1) ffn_output = self.dropout2(ffn_output, training=training) return self.layernorm2(out1 + ffn_output)
In [11]:
def build_model(num_heads, ff_dim): inputs = layers.Input(shape=(1,len(feature_cols)), name='input') x = layers.Conv1D(filters=64, kernel_size=1, activation='relu')(inputs) lstm_out = layers.Bidirectional(layers.LSTM(units=64, return_sequences=True))(x) lstm_out = layers.Dense(128, activation='relu')(lstm_out) transformer_block = TransformerBlock(128, num_heads, ff_dim) x = transformer_block(lstm_out) x = layers.GlobalAveragePooling1D()(x) x = layers.Dropout(0.1)(x) x = layers.Dense(32, activation="relu")(x) x = layers.Dropout(0.1)(x) out = layers.Dense(1, name='out', activation="sigmoid")(x) model = Model(inputs=[inputs], outputs=out) model.summary() return model
In [12]:
model = build_model(3, 16)
2023-02-15 15:27:25.855423: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1 2023-02-15 15:27:25.914976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: pciBusID: 0000:35:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s 2023-02-15 15:27:25.916491: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 1 with properties: pciBusID: 0000:9c:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s 2023-02-15 15:27:25.916513: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0 2023-02-15 15:27:25.919898: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11 2023-02-15 15:27:25.919954: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11 2023-02-15 15:27:25.921620: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10 2023-02-15 15:27:25.921895: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10 2023-02-15 15:27:25.922926: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11 2023-02-15 15:27:25.923798: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11 2023-02-15 15:27:25.923919: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8 2023-02-15 15:27:25.930727: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0, 1 2023-02-15 15:27:25.931098: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-02-15 15:27:26.405499: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: pciBusID: 0000:35:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s 2023-02-15 15:27:26.406851: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 1 with properties: pciBusID: 0000:9c:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.41GiB deviceMemoryBandwidth: 1.41TiB/s 2023-02-15 15:27:26.413344: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0, 1 2023-02-15 15:27:26.413398: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0 2023-02-15 15:27:27.737158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix: 2023-02-15 15:27:27.737201: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0 1 2023-02-15 15:27:27.737207: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N Y 2023-02-15 15:27:27.737211: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 1: Y N 2023-02-15 15:27:27.743435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7626 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-PCIE-40GB, pci bus id: 0000:35:00.0, compute capability: 8.0) 2023-02-15 15:27:27.745129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 5 MB memory) -> physical GPU (device: 1, name: NVIDIA A100-PCIE-40GB, pci bus id: 0000:9c:00.0, compute capability: 8.0)
Model: "model" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input (InputLayer) [(None, 1, 44)] 0 _________________________________________________________________ conv1d (Conv1D) (None, 1, 64) 2880 _________________________________________________________________ bidirectional (Bidirectional (None, 1, 128) 66048 _________________________________________________________________ dense (Dense) (None, 1, 128) 16512 _________________________________________________________________ transformer_block (Transform (None, 1, 128) 202640 _________________________________________________________________ global_average_pooling1d (Gl (None, 128) 0 _________________________________________________________________ dropout_2 (Dropout) (None, 128) 0 _________________________________________________________________ dense_3 (Dense) (None, 32) 4128 _________________________________________________________________ dropout_3 (Dropout) (None, 32) 0 _________________________________________________________________ out (Dense) (None, 1) 33 ================================================================= Total params: 292,241 Trainable params: 292,241 Non-trainable params: 0 _________________________________________________________________
In [13]:
from sklearn.model_selection import train_test_split
In [14]:
from sklearn.model_selection import KFold from sklearn.metrics import mean_absolute_error, mean_squared_error, mean_absolute_percentage_error, r2_score
In [15]:
kf = KFold(n_splits=10, shuffle=True, random_state=666)
In [16]:
feature_cols
Out[16]:
['机组容量', '入炉煤低位热值_new', '燃煤挥发份Var_new', '燃煤灰份Aar_new', '服役时长', '地区_上海', '地区_云南', '地区_内蒙', '地区_北京', '地区_吉林', '地区_四川', '地区_天津', '地区_宁夏', '地区_安徽', '地区_山东', '地区_山西', '地区_广东', '地区_广西', '地区_新疆', '地区_江苏', '地区_江西', '地区_河北', '地区_河南', '地区_浙江', '地区_海南', '地区_湖北', '地区_湖南', '地区_甘肃', '地区_福建', '地区_贵州', '地区_辽宁', '地区_重庆', '地区_陕西', '地区_黑龙江', '机组类型_供热式', '机组类型_纯凝式', '参数分类_亚临界', '参数分类_超临界', '参数分类_超超临界', '参数分类_超高压', '冷却方式_水冷', '冷却方式_直接空冷', '冷却方式_间接空冷', '锅炉类型_煤粉']
In [17]:
from tensorflow.keras import optimizers
In [18]:
opt = optimizers.Adam(learning_rate=5e-5)
In [19]:
eva_list = list() for (train_index, test_index) in kf.split(use_data): train = use_data.loc[train_index] test = use_data.loc[test_index] train, valid = train_test_split(train, test_size=0.15, random_state=666) X_train, Y_train = train[feature_cols], train['CO2_em_air'] X_valid, Y_valid = valid[feature_cols], valid['CO2_em_air'] X_test, Y_test = valid[feature_cols], valid['CO2_em_air'] model.compile(optimizer=opt, loss=tf.keras.losses.MAE, metrics=['mae']) model_history = model.fit( {'input': np.expand_dims(X_train.values, axis=1)}, { 'out': Y_train.values, }, validation_data=(np.expand_dims(X_valid[feature_cols].values, axis=1), Y_valid.values), epochs=100, batch_size=32, verbose=1) y_pred = np.expm1(model.predict(np.expand_dims(X_test[feature_cols].values, axis=1))) y_true = np.expm1(Y_test.values) MSE = mean_squared_error(y_true, y_pred) RMSE = np.sqrt(mean_squared_error(y_true, y_pred)) MAE = mean_absolute_error(y_true, y_pred) MAPE = mean_absolute_percentage_error(y_true, y_pred) R_2 = r2_score(y_true, y_pred) print('MSE:', format(MSE, '.1E'), end=', ') print('RMSE:', round(RMSE, 3), end=', ') print('MAE:', round(MAE, 3), end=', ') print('MAPE:', round(MAPE*100, 2), '%', end=', ') print('R_2:', round(R_2, 3)) #R方为负就说明拟合效果比平均值差 if R_2 >= 0.9: eva_list.append([MSE, RMSE, MAE, MAPE, R_2]) break
2023-02-15 15:27:29.091509: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2) 2023-02-15 15:27:29.110380: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 2200000000 Hz
Epoch 1/100
2023-02-15 15:27:32.312182: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8 2023-02-15 15:27:33.451542: I tensorflow/stream_executor/cuda/cuda_dnn.cc:359] Loaded cuDNN version 8401 2023-02-15 15:27:34.663250: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11 2023-02-15 15:27:34.663722: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11 Could not load symbol cublasGetSmCountTarget from libcublas.so.11. Error: /usr/local/cuda-11.2/lib64/libcublas.so.11: undefined symbol: cublasGetSmCountTarget 2023-02-15 15:27:34.853189: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
17/17 [==============================] - 7s 56ms/step - loss: 0.0865 - mae: 0.0865 - val_loss: 0.0356 - val_mae: 0.0356 Epoch 2/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0695 - mae: 0.0695 - val_loss: 0.0307 - val_mae: 0.0307 Epoch 3/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0625 - mae: 0.0625 - val_loss: 0.0269 - val_mae: 0.0269 Epoch 4/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0518 - mae: 0.0518 - val_loss: 0.0256 - val_mae: 0.0256 Epoch 5/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0487 - mae: 0.0487 - val_loss: 0.0224 - val_mae: 0.0224 Epoch 6/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0450 - mae: 0.0450 - val_loss: 0.0199 - val_mae: 0.0199 Epoch 7/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0437 - mae: 0.0437 - val_loss: 0.0195 - val_mae: 0.0195 Epoch 8/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0435 - mae: 0.0435 - val_loss: 0.0192 - val_mae: 0.0192 Epoch 9/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0401 - mae: 0.0401 - val_loss: 0.0178 - val_mae: 0.0178 Epoch 10/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0412 - mae: 0.0412 - val_loss: 0.0175 - val_mae: 0.0175 Epoch 11/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0375 - mae: 0.0375 - val_loss: 0.0160 - val_mae: 0.0160 Epoch 12/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0393 - mae: 0.0393 - val_loss: 0.0157 - val_mae: 0.0157 Epoch 13/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0384 - mae: 0.0384 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 14/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0366 - mae: 0.0366 - val_loss: 0.0184 - val_mae: 0.0184 Epoch 15/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0365 - mae: 0.0365 - val_loss: 0.0138 - val_mae: 0.0138 Epoch 16/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0376 - mae: 0.0376 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 17/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0379 - mae: 0.0379 - val_loss: 0.0143 - val_mae: 0.0143 Epoch 18/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0358 - mae: 0.0358 - val_loss: 0.0144 - val_mae: 0.0144 Epoch 19/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0374 - mae: 0.0374 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 20/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0356 - mae: 0.0356 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 21/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0351 - mae: 0.0351 - val_loss: 0.0142 - val_mae: 0.0142 Epoch 22/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0357 - mae: 0.0357 - val_loss: 0.0188 - val_mae: 0.0188 Epoch 23/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0374 - mae: 0.0374 - val_loss: 0.0146 - val_mae: 0.0146 Epoch 24/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0348 - mae: 0.0348 - val_loss: 0.0157 - val_mae: 0.0157 Epoch 25/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0348 - mae: 0.0348 - val_loss: 0.0157 - val_mae: 0.0157 Epoch 26/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0351 - mae: 0.0351 - val_loss: 0.0147 - val_mae: 0.0147 Epoch 27/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0355 - mae: 0.0355 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 28/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0321 - mae: 0.0321 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 29/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0324 - mae: 0.0324 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 30/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0336 - mae: 0.0336 - val_loss: 0.0173 - val_mae: 0.0173 Epoch 31/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0339 - mae: 0.0339 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 32/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0332 - mae: 0.0332 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 33/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0333 - mae: 0.0333 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 34/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0312 - mae: 0.0312 - val_loss: 0.0147 - val_mae: 0.0147 Epoch 35/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0337 - mae: 0.0337 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 36/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0306 - mae: 0.0306 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 37/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0324 - mae: 0.0324 - val_loss: 0.0160 - val_mae: 0.0160 Epoch 38/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0320 - mae: 0.0320 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 39/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0312 - mae: 0.0312 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 40/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0302 - mae: 0.0302 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 41/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0316 - mae: 0.0316 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 42/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0334 - mae: 0.0334 - val_loss: 0.0179 - val_mae: 0.0179 Epoch 43/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0312 - mae: 0.0312 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 44/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0292 - mae: 0.0292 - val_loss: 0.0197 - val_mae: 0.0197 Epoch 45/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0311 - mae: 0.0311 - val_loss: 0.0189 - val_mae: 0.0189 Epoch 46/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0315 - mae: 0.0315 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 47/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0301 - mae: 0.0301 - val_loss: 0.0170 - val_mae: 0.0170 Epoch 48/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0320 - mae: 0.0320 - val_loss: 0.0161 - val_mae: 0.0161 Epoch 49/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0312 - mae: 0.0312 - val_loss: 0.0166 - val_mae: 0.0166 Epoch 50/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0302 - mae: 0.0302 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 51/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0289 - mae: 0.0289 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 52/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0324 - mae: 0.0324 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 53/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0304 - mae: 0.0304 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 54/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0306 - mae: 0.0306 - val_loss: 0.0155 - val_mae: 0.0155 Epoch 55/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0289 - mae: 0.0289 - val_loss: 0.0141 - val_mae: 0.0141 Epoch 56/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0300 - mae: 0.0300 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 57/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0269 - mae: 0.0269 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 58/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0284 - mae: 0.0284 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 59/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0284 - mae: 0.0284 - val_loss: 0.0118 - val_mae: 0.0118 Epoch 60/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0276 - mae: 0.0276 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 61/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0306 - mae: 0.0306 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 62/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0276 - mae: 0.0276 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 63/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0292 - mae: 0.0292 - val_loss: 0.0176 - val_mae: 0.0176 Epoch 64/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0267 - mae: 0.0267 - val_loss: 0.0172 - val_mae: 0.0172 Epoch 65/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0273 - mae: 0.0273 - val_loss: 0.0157 - val_mae: 0.0157 Epoch 66/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0297 - mae: 0.0297 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 67/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0273 - mae: 0.0273 - val_loss: 0.0162 - val_mae: 0.0162 Epoch 68/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0290 - mae: 0.0290 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 69/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0271 - mae: 0.0271 - val_loss: 0.0190 - val_mae: 0.0190 Epoch 70/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0270 - mae: 0.0270 - val_loss: 0.0134 - val_mae: 0.0134 Epoch 71/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0272 - mae: 0.0272 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 72/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0295 - mae: 0.0295 - val_loss: 0.0148 - val_mae: 0.0148 Epoch 73/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0282 - mae: 0.0282 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 74/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0288 - mae: 0.0288 - val_loss: 0.0193 - val_mae: 0.0193 Epoch 75/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0293 - mae: 0.0293 - val_loss: 0.0134 - val_mae: 0.0134 Epoch 76/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0269 - mae: 0.0269 - val_loss: 0.0143 - val_mae: 0.0143 Epoch 77/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0282 - mae: 0.0282 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 78/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0267 - mae: 0.0267 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 79/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0285 - mae: 0.0285 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 80/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0278 - mae: 0.0278 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 81/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0287 - mae: 0.0287 - val_loss: 0.0118 - val_mae: 0.0118 Epoch 82/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0275 - mae: 0.0275 - val_loss: 0.0210 - val_mae: 0.0210 Epoch 83/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0282 - mae: 0.0282 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 84/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0288 - mae: 0.0288 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 85/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0284 - mae: 0.0284 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 86/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0283 - mae: 0.0283 - val_loss: 0.0165 - val_mae: 0.0165 Epoch 87/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0274 - mae: 0.0274 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 88/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0263 - mae: 0.0263 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 89/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0278 - mae: 0.0278 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 90/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0274 - mae: 0.0274 - val_loss: 0.0142 - val_mae: 0.0142 Epoch 91/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0268 - mae: 0.0268 - val_loss: 0.0142 - val_mae: 0.0142 Epoch 92/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0299 - mae: 0.0299 - val_loss: 0.0188 - val_mae: 0.0188 Epoch 93/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0268 - mae: 0.0268 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 94/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0274 - mae: 0.0274 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 95/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0276 - mae: 0.0276 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 96/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0271 - mae: 0.0271 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 97/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0262 - mae: 0.0262 - val_loss: 0.0150 - val_mae: 0.0150 Epoch 98/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0273 - mae: 0.0273 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 99/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0271 - mae: 0.0271 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 100/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0264 - mae: 0.0264 - val_loss: 0.0146 - val_mae: 0.0146 MSE: 1.6E-03, RMSE: 0.04, MAE: 0.019, MAPE: 6.3 %, R_2: 0.15 Epoch 1/100 17/17 [==============================] - 3s 44ms/step - loss: 0.0265 - mae: 0.0265 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 2/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0260 - mae: 0.0260 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 3/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0277 - mae: 0.0277 - val_loss: 0.0183 - val_mae: 0.0183 Epoch 4/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0267 - mae: 0.0267 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 5/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0270 - mae: 0.0270 - val_loss: 0.0197 - val_mae: 0.0197 Epoch 6/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0292 - mae: 0.0292 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 7/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0258 - mae: 0.0258 - val_loss: 0.0143 - val_mae: 0.0143 Epoch 8/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0272 - mae: 0.0272 - val_loss: 0.0170 - val_mae: 0.0170 Epoch 9/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0276 - mae: 0.0276 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 10/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0283 - mae: 0.0283 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 11/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0292 - mae: 0.0292 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 12/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0268 - mae: 0.0268 - val_loss: 0.0146 - val_mae: 0.0146 Epoch 13/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0281 - mae: 0.0281 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 14/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0267 - mae: 0.0267 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 15/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0269 - mae: 0.0269 - val_loss: 0.0142 - val_mae: 0.0142 Epoch 16/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0260 - mae: 0.0260 - val_loss: 0.0124 - val_mae: 0.0124 Epoch 17/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0284 - mae: 0.0284 - val_loss: 0.0138 - val_mae: 0.0138 Epoch 18/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0257 - mae: 0.0257 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 19/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0268 - mae: 0.0268 - val_loss: 0.0138 - val_mae: 0.0138 Epoch 20/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0263 - mae: 0.0263 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 21/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0258 - mae: 0.0258 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 22/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0257 - mae: 0.0257 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 23/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0266 - mae: 0.0266 - val_loss: 0.0143 - val_mae: 0.0143 Epoch 24/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0262 - mae: 0.0262 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 25/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0264 - mae: 0.0264 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 26/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0256 - mae: 0.0256 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 27/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0258 - mae: 0.0258 - val_loss: 0.0192 - val_mae: 0.0192 Epoch 28/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0264 - mae: 0.0264 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 29/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0277 - mae: 0.0277 - val_loss: 0.0130 - val_mae: 0.0130 Epoch 30/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0262 - mae: 0.0262 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 31/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0261 - mae: 0.0261 - val_loss: 0.0156 - val_mae: 0.0156 Epoch 32/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 33/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0257 - mae: 0.0257 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 34/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0267 - mae: 0.0267 - val_loss: 0.0157 - val_mae: 0.0157 Epoch 35/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0250 - mae: 0.0250 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 36/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0251 - mae: 0.0251 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 37/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0254 - mae: 0.0254 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 38/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0248 - mae: 0.0248 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 39/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0253 - mae: 0.0253 - val_loss: 0.0169 - val_mae: 0.0169 Epoch 40/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0264 - mae: 0.0264 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 41/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0267 - mae: 0.0267 - val_loss: 0.0138 - val_mae: 0.0138 Epoch 42/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0253 - mae: 0.0253 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 43/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0266 - mae: 0.0266 - val_loss: 0.0143 - val_mae: 0.0143 Epoch 44/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 45/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0163 - val_mae: 0.0163 Epoch 46/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0261 - mae: 0.0261 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 47/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0115 - val_mae: 0.0115 Epoch 48/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0258 - mae: 0.0258 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 49/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0253 - mae: 0.0253 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 50/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0261 - mae: 0.0261 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 51/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0251 - mae: 0.0251 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 52/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0255 - mae: 0.0255 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 53/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0265 - mae: 0.0265 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 54/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0203 - val_mae: 0.0203 Epoch 55/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0264 - mae: 0.0264 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 56/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0258 - mae: 0.0258 - val_loss: 0.0130 - val_mae: 0.0130 Epoch 57/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0257 - mae: 0.0257 - val_loss: 0.0166 - val_mae: 0.0166 Epoch 58/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0115 - val_mae: 0.0115 Epoch 59/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0263 - mae: 0.0263 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 60/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0252 - mae: 0.0252 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 61/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0254 - mae: 0.0254 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 62/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0118 - val_mae: 0.0118 Epoch 63/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 64/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0247 - mae: 0.0247 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 65/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0261 - mae: 0.0261 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 66/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0241 - mae: 0.0241 - val_loss: 0.0142 - val_mae: 0.0142 Epoch 67/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0256 - mae: 0.0256 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 68/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0252 - mae: 0.0252 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 69/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0241 - mae: 0.0241 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 70/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0246 - mae: 0.0246 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 71/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0250 - mae: 0.0250 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 72/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0246 - mae: 0.0246 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 73/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0254 - mae: 0.0254 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 74/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 75/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0256 - mae: 0.0256 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 76/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0244 - mae: 0.0244 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 77/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 78/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0255 - mae: 0.0255 - val_loss: 0.0175 - val_mae: 0.0175 Epoch 79/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 80/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 81/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 82/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0246 - mae: 0.0246 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 83/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0243 - mae: 0.0243 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 84/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0253 - mae: 0.0253 - val_loss: 0.0166 - val_mae: 0.0166 Epoch 85/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0253 - mae: 0.0253 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 86/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0231 - mae: 0.0231 - val_loss: 0.0160 - val_mae: 0.0160 Epoch 87/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0245 - mae: 0.0245 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 88/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 89/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0247 - mae: 0.0247 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 90/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0241 - mae: 0.0241 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 91/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 92/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0245 - mae: 0.0245 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 93/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0252 - mae: 0.0252 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 94/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 95/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0242 - mae: 0.0242 - val_loss: 0.0144 - val_mae: 0.0144 Epoch 96/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0261 - mae: 0.0261 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 97/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0150 - val_mae: 0.0150 Epoch 98/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0244 - mae: 0.0244 - val_loss: 0.0130 - val_mae: 0.0130 Epoch 99/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 100/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0257 - mae: 0.0257 - val_loss: 0.0112 - val_mae: 0.0112 MSE: 3.9E-04, RMSE: 0.02, MAE: 0.014, MAPE: 5.2 %, R_2: 0.295 Epoch 1/100 17/17 [==============================] - 3s 49ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0144 - val_mae: 0.0144 Epoch 2/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0076 - val_mae: 0.0076 Epoch 3/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 4/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 5/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0134 - val_mae: 0.0134 Epoch 6/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0141 - val_mae: 0.0141 Epoch 7/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 8/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0238 - mae: 0.0238 - val_loss: 0.0093 - val_mae: 0.0093 Epoch 9/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 10/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0246 - mae: 0.0246 - val_loss: 0.0145 - val_mae: 0.0145 Epoch 11/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0245 - mae: 0.0245 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 12/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 13/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0087 - val_mae: 0.0087 Epoch 14/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 15/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0246 - mae: 0.0246 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 16/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 17/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0238 - mae: 0.0238 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 18/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 19/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0246 - mae: 0.0246 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 20/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0231 - mae: 0.0231 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 21/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0242 - mae: 0.0242 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 22/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0238 - mae: 0.0238 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 23/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0240 - mae: 0.0240 - val_loss: 0.0146 - val_mae: 0.0146 Epoch 24/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0238 - mae: 0.0238 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 25/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 26/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0248 - mae: 0.0248 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 27/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 28/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0244 - mae: 0.0244 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 29/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0238 - mae: 0.0238 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 30/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0241 - mae: 0.0241 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 31/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0236 - mae: 0.0236 - val_loss: 0.0082 - val_mae: 0.0082 Epoch 32/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0166 - val_mae: 0.0166 Epoch 33/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0241 - mae: 0.0241 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 34/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0245 - mae: 0.0245 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 35/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0236 - mae: 0.0236 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 36/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0236 - mae: 0.0236 - val_loss: 0.0171 - val_mae: 0.0171 Epoch 37/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0249 - mae: 0.0249 - val_loss: 0.0148 - val_mae: 0.0148 Epoch 38/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 39/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 40/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 41/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 42/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0244 - mae: 0.0244 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 43/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0242 - mae: 0.0242 - val_loss: 0.0077 - val_mae: 0.0077 Epoch 44/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 45/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 46/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 47/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0231 - mae: 0.0231 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 48/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0082 - val_mae: 0.0082 Epoch 49/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0241 - mae: 0.0241 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 50/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0245 - mae: 0.0245 - val_loss: 0.0124 - val_mae: 0.0124 Epoch 51/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0259 - mae: 0.0259 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 52/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0240 - mae: 0.0240 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 53/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0220 - mae: 0.0220 - val_loss: 0.0134 - val_mae: 0.0134 Epoch 54/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 55/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0243 - mae: 0.0243 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 56/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 57/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 58/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0226 - mae: 0.0226 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 59/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0226 - mae: 0.0226 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 60/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 61/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0120 - val_mae: 0.0120 Epoch 62/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0243 - mae: 0.0243 - val_loss: 0.0076 - val_mae: 0.0076 Epoch 63/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 64/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0231 - mae: 0.0231 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 65/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0243 - mae: 0.0243 - val_loss: 0.0077 - val_mae: 0.0077 Epoch 66/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 67/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0232 - mae: 0.0232 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 68/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0164 - val_mae: 0.0164 Epoch 69/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 70/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0232 - mae: 0.0232 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 71/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0232 - mae: 0.0232 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 72/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0250 - mae: 0.0250 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 73/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 74/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0236 - mae: 0.0236 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 75/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 76/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0220 - mae: 0.0220 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 77/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0225 - mae: 0.0225 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 78/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0120 - val_mae: 0.0120 Epoch 79/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0218 - mae: 0.0218 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 80/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 81/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 82/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 83/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 84/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 85/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0232 - mae: 0.0232 - val_loss: 0.0155 - val_mae: 0.0155 Epoch 86/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0219 - mae: 0.0219 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 87/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0225 - mae: 0.0225 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 88/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 89/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 90/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0183 - val_mae: 0.0183 Epoch 91/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0243 - mae: 0.0243 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 92/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 93/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 94/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0213 - mae: 0.0213 - val_loss: 0.0148 - val_mae: 0.0148 Epoch 95/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0077 - val_mae: 0.0077 Epoch 96/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 97/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 98/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0115 - val_mae: 0.0115 Epoch 99/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0138 - val_mae: 0.0138 Epoch 100/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0136 - val_mae: 0.0136 MSE: 4.2E-04, RMSE: 0.02, MAE: 0.017, MAPE: 6.48 %, R_2: -0.01 Epoch 1/100 17/17 [==============================] - 3s 48ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 2/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 3/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0176 - val_mae: 0.0176 Epoch 4/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 5/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 6/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0184 - val_mae: 0.0184 Epoch 7/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0226 - mae: 0.0226 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 8/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0239 - mae: 0.0239 - val_loss: 0.0147 - val_mae: 0.0147 Epoch 9/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0237 - mae: 0.0237 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 10/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0225 - mae: 0.0225 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 11/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0236 - mae: 0.0236 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 12/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0118 - val_mae: 0.0118 Epoch 13/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 14/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 15/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 16/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 17/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0225 - mae: 0.0225 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 18/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0240 - mae: 0.0240 - val_loss: 0.0194 - val_mae: 0.0194 Epoch 19/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0238 - mae: 0.0238 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 20/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0124 - val_mae: 0.0124 Epoch 21/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0231 - mae: 0.0231 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 22/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0218 - mae: 0.0218 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 23/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0147 - val_mae: 0.0147 Epoch 24/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0217 - mae: 0.0217 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 25/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0226 - mae: 0.0226 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 26/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0242 - mae: 0.0242 - val_loss: 0.0120 - val_mae: 0.0120 Epoch 27/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0173 - val_mae: 0.0173 Epoch 28/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 29/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0131 - val_mae: 0.0131 Epoch 30/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0230 - mae: 0.0230 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 31/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0225 - mae: 0.0225 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 32/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 33/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0160 - val_mae: 0.0160 Epoch 34/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 35/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0226 - mae: 0.0226 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 36/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 37/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0233 - mae: 0.0233 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 38/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0120 - val_mae: 0.0120 Epoch 39/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 40/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0215 - mae: 0.0215 - val_loss: 0.0144 - val_mae: 0.0144 Epoch 41/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0165 - val_mae: 0.0165 Epoch 42/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0225 - mae: 0.0225 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 43/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0156 - val_mae: 0.0156 Epoch 44/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0217 - mae: 0.0217 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 45/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 46/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 47/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0218 - mae: 0.0218 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 48/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 49/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0129 - val_mae: 0.0129 Epoch 50/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 51/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0227 - mae: 0.0227 - val_loss: 0.0183 - val_mae: 0.0183 Epoch 52/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 53/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0153 - val_mae: 0.0153 Epoch 54/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0232 - mae: 0.0232 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 55/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 56/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0235 - mae: 0.0235 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 57/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0149 - val_mae: 0.0149 Epoch 58/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0219 - mae: 0.0219 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 59/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0220 - mae: 0.0220 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 60/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 61/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 62/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 63/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0222 - mae: 0.0222 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 64/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 65/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 66/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0232 - mae: 0.0232 - val_loss: 0.0124 - val_mae: 0.0124 Epoch 67/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0139 - val_mae: 0.0139 Epoch 68/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0115 - val_mae: 0.0115 Epoch 69/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0226 - mae: 0.0226 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 70/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 71/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0208 - mae: 0.0208 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 72/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 73/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0221 - mae: 0.0221 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 74/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0219 - mae: 0.0219 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 75/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0215 - mae: 0.0215 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 76/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 77/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0219 - mae: 0.0219 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 78/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 79/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 80/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0146 - val_mae: 0.0146 Epoch 81/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0153 - val_mae: 0.0153 Epoch 82/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0218 - mae: 0.0218 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 83/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0229 - mae: 0.0229 - val_loss: 0.0120 - val_mae: 0.0120 Epoch 84/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 85/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 86/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0212 - mae: 0.0212 - val_loss: 0.0130 - val_mae: 0.0130 Epoch 87/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 88/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 89/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0220 - mae: 0.0220 - val_loss: 0.0188 - val_mae: 0.0188 Epoch 90/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 91/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 92/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0234 - mae: 0.0234 - val_loss: 0.0151 - val_mae: 0.0151 Epoch 93/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0224 - mae: 0.0224 - val_loss: 0.0150 - val_mae: 0.0150 Epoch 94/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0228 - mae: 0.0228 - val_loss: 0.0115 - val_mae: 0.0115 Epoch 95/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 96/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0132 - val_mae: 0.0132 Epoch 97/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0210 - mae: 0.0210 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 98/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0175 - val_mae: 0.0175 Epoch 99/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0219 - mae: 0.0219 - val_loss: 0.0141 - val_mae: 0.0141 Epoch 100/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0109 - val_mae: 0.0109 MSE: 3.8E-04, RMSE: 0.02, MAE: 0.014, MAPE: 5.03 %, R_2: 0.248 Epoch 1/100 17/17 [==============================] - 4s 51ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 2/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0213 - mae: 0.0213 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 3/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0223 - mae: 0.0223 - val_loss: 0.0087 - val_mae: 0.0087 Epoch 4/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0208 - mae: 0.0208 - val_loss: 0.0100 - val_mae: 0.0100 Epoch 5/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 6/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0087 - val_mae: 0.0087 Epoch 7/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0218 - mae: 0.0218 - val_loss: 0.0082 - val_mae: 0.0082 Epoch 8/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0212 - mae: 0.0212 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 9/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0212 - mae: 0.0212 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 10/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 11/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0218 - mae: 0.0218 - val_loss: 0.0087 - val_mae: 0.0087 Epoch 12/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0213 - mae: 0.0213 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 13/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0212 - mae: 0.0212 - val_loss: 0.0135 - val_mae: 0.0135 Epoch 14/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0206 - mae: 0.0206 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 15/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 16/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 17/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0202 - mae: 0.0202 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 18/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0210 - mae: 0.0210 - val_loss: 0.0082 - val_mae: 0.0082 Epoch 19/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 20/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 21/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 22/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0204 - mae: 0.0204 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 23/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 24/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0217 - mae: 0.0217 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 25/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 26/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 27/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0206 - mae: 0.0206 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 28/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0220 - mae: 0.0220 - val_loss: 0.0075 - val_mae: 0.0075 Epoch 29/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 30/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 31/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 32/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0212 - mae: 0.0212 - val_loss: 0.0124 - val_mae: 0.0124 Epoch 33/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 34/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 35/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 36/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0142 - val_mae: 0.0142 Epoch 37/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 38/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 39/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 40/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0153 - val_mae: 0.0153 Epoch 41/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0083 - val_mae: 0.0083 Epoch 42/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 43/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 44/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0095 - val_mae: 0.0095 Epoch 45/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0100 - val_mae: 0.0100 Epoch 46/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0195 - mae: 0.0195 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 47/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0204 - mae: 0.0204 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 48/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0213 - mae: 0.0213 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 49/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 50/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0095 - val_mae: 0.0095 Epoch 51/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 52/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 53/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0094 - val_mae: 0.0094 Epoch 54/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0207 - mae: 0.0207 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 55/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0208 - mae: 0.0208 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 56/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 57/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 58/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0202 - mae: 0.0202 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 59/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0214 - mae: 0.0214 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 60/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0206 - mae: 0.0206 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 61/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0204 - mae: 0.0204 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 62/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 63/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 64/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0208 - mae: 0.0208 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 65/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0108 - val_mae: 0.0108 Epoch 66/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 67/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0208 - mae: 0.0208 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 68/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0206 - mae: 0.0206 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 69/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 70/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0211 - mae: 0.0211 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 71/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0210 - mae: 0.0210 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 72/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 73/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0213 - mae: 0.0213 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 74/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 75/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0202 - mae: 0.0202 - val_loss: 0.0095 - val_mae: 0.0095 Epoch 76/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 77/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0202 - mae: 0.0202 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 78/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0138 - val_mae: 0.0138 Epoch 79/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0204 - mae: 0.0204 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 80/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0197 - mae: 0.0197 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 81/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0206 - mae: 0.0206 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 82/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0155 - val_mae: 0.0155 Epoch 83/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 84/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 85/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 86/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0100 - val_mae: 0.0100 Epoch 87/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0105 - val_mae: 0.0105 Epoch 88/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 89/100 17/17 [==============================] - 0s 6ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0082 - val_mae: 0.0082 Epoch 90/100 17/17 [==============================] - 0s 7ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 91/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 92/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0216 - mae: 0.0216 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 93/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0090 - val_mae: 0.0090 Epoch 94/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 95/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0202 - mae: 0.0202 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 96/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 97/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0209 - mae: 0.0209 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 98/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 99/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0133 - val_mae: 0.0133 Epoch 100/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0192 - mae: 0.0192 - val_loss: 0.0107 - val_mae: 0.0107 WARNING:tensorflow:5 out of the last 13 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f015449dcb0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. MSE: 4.0E-04, RMSE: 0.02, MAE: 0.014, MAPE: 4.89 %, R_2: 0.377 Epoch 1/100 17/17 [==============================] - 4s 55ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 2/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 3/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0208 - mae: 0.0208 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 4/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 5/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 6/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0146 - val_mae: 0.0146 Epoch 7/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 8/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 9/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 10/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0195 - mae: 0.0195 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 11/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0202 - mae: 0.0202 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 12/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0114 - val_mae: 0.0114 Epoch 13/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0123 - val_mae: 0.0123 Epoch 14/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0195 - mae: 0.0195 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 15/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 16/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0136 - val_mae: 0.0136 Epoch 17/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 18/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0195 - mae: 0.0195 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 19/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 20/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 21/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 22/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0083 - val_mae: 0.0083 Epoch 23/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0197 - mae: 0.0197 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 24/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0077 - val_mae: 0.0077 Epoch 25/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0201 - mae: 0.0201 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 26/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 27/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0192 - mae: 0.0192 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 28/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0206 - mae: 0.0206 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 29/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 30/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0087 - val_mae: 0.0087 Epoch 31/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0189 - mae: 0.0189 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 32/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 33/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0204 - mae: 0.0204 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 34/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 35/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 36/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 37/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0215 - mae: 0.0215 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 38/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 39/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 40/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0160 - val_mae: 0.0160 Epoch 41/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0195 - mae: 0.0195 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 42/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 43/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 44/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 45/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 46/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 47/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 48/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 49/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 50/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 51/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0210 - mae: 0.0210 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 52/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 53/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0197 - mae: 0.0197 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 54/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 55/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0140 - val_mae: 0.0140 Epoch 56/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0205 - mae: 0.0205 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 57/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0095 - val_mae: 0.0095 Epoch 58/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 59/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0094 - val_mae: 0.0094 Epoch 60/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 61/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 62/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0182 - mae: 0.0182 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 63/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0120 - val_mae: 0.0120 Epoch 64/100 17/17 [==============================] - 0s 7ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0126 - val_mae: 0.0126 Epoch 65/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 66/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0192 - mae: 0.0192 - val_loss: 0.0121 - val_mae: 0.0121 Epoch 67/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 68/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 69/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0083 - val_mae: 0.0083 Epoch 70/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0197 - mae: 0.0197 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 71/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0097 - val_mae: 0.0097 Epoch 72/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 73/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0204 - mae: 0.0204 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 74/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 75/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 76/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0101 - val_mae: 0.0101 Epoch 77/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0198 - mae: 0.0198 - val_loss: 0.0125 - val_mae: 0.0125 Epoch 78/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0197 - mae: 0.0197 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 79/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0193 - mae: 0.0193 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 80/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0110 - val_mae: 0.0110 Epoch 81/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 82/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 83/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 84/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0198 - mae: 0.0198 - val_loss: 0.0130 - val_mae: 0.0130 Epoch 85/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0192 - mae: 0.0192 - val_loss: 0.0103 - val_mae: 0.0103 Epoch 86/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 87/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 88/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 89/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0189 - mae: 0.0189 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 90/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 91/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 92/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0137 - val_mae: 0.0137 Epoch 93/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0127 - val_mae: 0.0127 Epoch 94/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0203 - mae: 0.0203 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 95/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 96/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0156 - val_mae: 0.0156 Epoch 97/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0198 - mae: 0.0198 - val_loss: 0.0117 - val_mae: 0.0117 Epoch 98/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0181 - mae: 0.0181 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 99/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 100/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0091 - val_mae: 0.0091 WARNING:tensorflow:5 out of the last 13 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f0114293050> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. MSE: 4.1E-04, RMSE: 0.02, MAE: 0.012, MAPE: 4.01 %, R_2: 0.478 Epoch 1/100 17/17 [==============================] - 4s 60ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 2/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0199 - mae: 0.0199 - val_loss: 0.0086 - val_mae: 0.0086 Epoch 3/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0189 - mae: 0.0189 - val_loss: 0.0100 - val_mae: 0.0100 Epoch 4/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 5/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0119 - val_mae: 0.0119 Epoch 6/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0176 - mae: 0.0176 - val_loss: 0.0056 - val_mae: 0.0056 Epoch 7/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0064 - val_mae: 0.0064 Epoch 8/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0070 - val_mae: 0.0070 Epoch 9/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0170 - mae: 0.0170 - val_loss: 0.0074 - val_mae: 0.0074 Epoch 10/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0182 - mae: 0.0182 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 11/100 17/17 [==============================] - 0s 18ms/step - loss: 0.0168 - mae: 0.0168 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 12/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0197 - mae: 0.0197 - val_loss: 0.0083 - val_mae: 0.0083 Epoch 13/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 14/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0176 - mae: 0.0176 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 15/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 16/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0094 - val_mae: 0.0094 Epoch 17/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0083 - val_mae: 0.0083 Epoch 18/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 19/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 20/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0107 - val_mae: 0.0107 Epoch 21/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 22/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0189 - mae: 0.0189 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 23/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 24/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0057 - val_mae: 0.0057 Epoch 25/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0177 - mae: 0.0177 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 26/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0179 - mae: 0.0179 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 27/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0181 - mae: 0.0181 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 28/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0196 - mae: 0.0196 - val_loss: 0.0075 - val_mae: 0.0075 Epoch 29/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 30/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 31/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0100 - val_mae: 0.0100 Epoch 32/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0181 - mae: 0.0181 - val_loss: 0.0113 - val_mae: 0.0113 Epoch 33/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0177 - mae: 0.0177 - val_loss: 0.0067 - val_mae: 0.0067 Epoch 34/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0180 - mae: 0.0180 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 35/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0087 - val_mae: 0.0087 Epoch 36/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 37/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0067 - val_mae: 0.0067 Epoch 38/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0177 - mae: 0.0177 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 39/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0200 - mae: 0.0200 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 40/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0176 - mae: 0.0176 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 41/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 42/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0180 - mae: 0.0180 - val_loss: 0.0082 - val_mae: 0.0082 Epoch 43/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0076 - val_mae: 0.0076 Epoch 44/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 45/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0094 - val_mae: 0.0094 Epoch 46/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 47/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0182 - mae: 0.0182 - val_loss: 0.0066 - val_mae: 0.0066 Epoch 48/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 49/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0181 - mae: 0.0181 - val_loss: 0.0104 - val_mae: 0.0104 Epoch 50/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0173 - mae: 0.0173 - val_loss: 0.0098 - val_mae: 0.0098 Epoch 51/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0182 - mae: 0.0182 - val_loss: 0.0069 - val_mae: 0.0069 Epoch 52/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0191 - mae: 0.0191 - val_loss: 0.0060 - val_mae: 0.0060 Epoch 53/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0179 - mae: 0.0179 - val_loss: 0.0084 - val_mae: 0.0084 Epoch 54/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0070 - val_mae: 0.0070 Epoch 55/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0190 - mae: 0.0190 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 56/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0170 - mae: 0.0170 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 57/100 17/17 [==============================] - 0s 12ms/step - loss: 0.0187 - mae: 0.0187 - val_loss: 0.0079 - val_mae: 0.0079 Epoch 58/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0181 - mae: 0.0181 - val_loss: 0.0072 - val_mae: 0.0072 Epoch 59/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 60/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0063 - val_mae: 0.0063 Epoch 61/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0188 - mae: 0.0188 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 62/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0175 - mae: 0.0175 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 63/100 17/17 [==============================] - 0s 7ms/step - loss: 0.0177 - mae: 0.0177 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 64/100 17/17 [==============================] - 0s 6ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0074 - val_mae: 0.0074 Epoch 65/100 17/17 [==============================] - 0s 7ms/step - loss: 0.0171 - mae: 0.0171 - val_loss: 0.0116 - val_mae: 0.0116 Epoch 66/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0179 - mae: 0.0179 - val_loss: 0.0112 - val_mae: 0.0112 Epoch 67/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0067 - val_mae: 0.0067 Epoch 68/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0071 - val_mae: 0.0071 Epoch 69/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0180 - mae: 0.0180 - val_loss: 0.0128 - val_mae: 0.0128 Epoch 70/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0106 - val_mae: 0.0106 Epoch 71/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0192 - mae: 0.0192 - val_loss: 0.0062 - val_mae: 0.0062 Epoch 72/100 17/17 [==============================] - 0s 9ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0111 - val_mae: 0.0111 Epoch 73/100 17/17 [==============================] - 0s 8ms/step - loss: 0.0186 - mae: 0.0186 - val_loss: 0.0089 - val_mae: 0.0089 Epoch 74/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0073 - val_mae: 0.0073 Epoch 75/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0171 - mae: 0.0171 - val_loss: 0.0071 - val_mae: 0.0071 Epoch 76/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0184 - mae: 0.0184 - val_loss: 0.0092 - val_mae: 0.0092 Epoch 77/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0175 - mae: 0.0175 - val_loss: 0.0095 - val_mae: 0.0095 Epoch 78/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0177 - mae: 0.0177 - val_loss: 0.0091 - val_mae: 0.0091 Epoch 79/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0067 - val_mae: 0.0067 Epoch 80/100 17/17 [==============================] - 0s 17ms/step - loss: 0.0192 - mae: 0.0192 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 81/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0195 - mae: 0.0195 - val_loss: 0.0130 - val_mae: 0.0130 Epoch 82/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0176 - mae: 0.0176 - val_loss: 0.0096 - val_mae: 0.0096 Epoch 83/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0182 - mae: 0.0182 - val_loss: 0.0059 - val_mae: 0.0059 Epoch 84/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0178 - mae: 0.0178 - val_loss: 0.0065 - val_mae: 0.0065 Epoch 85/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0185 - mae: 0.0185 - val_loss: 0.0069 - val_mae: 0.0069 Epoch 86/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0179 - mae: 0.0179 - val_loss: 0.0075 - val_mae: 0.0075 Epoch 87/100 17/17 [==============================] - 0s 15ms/step - loss: 0.0174 - mae: 0.0174 - val_loss: 0.0099 - val_mae: 0.0099 Epoch 88/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0172 - mae: 0.0172 - val_loss: 0.0066 - val_mae: 0.0066 Epoch 89/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0183 - mae: 0.0183 - val_loss: 0.0088 - val_mae: 0.0088 Epoch 90/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0182 - mae: 0.0182 - val_loss: 0.0060 - val_mae: 0.0060 Epoch 91/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0180 - mae: 0.0180 - val_loss: 0.0072 - val_mae: 0.0072 Epoch 92/100 17/17 [==============================] - 0s 13ms/step - loss: 0.0171 - mae: 0.0171 - val_loss: 0.0081 - val_mae: 0.0081 Epoch 93/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0194 - mae: 0.0194 - val_loss: 0.0085 - val_mae: 0.0085 Epoch 94/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0168 - mae: 0.0168 - val_loss: 0.0093 - val_mae: 0.0093 Epoch 95/100 17/17 [==============================] - 0s 11ms/step - loss: 0.0172 - mae: 0.0172 - val_loss: 0.0078 - val_mae: 0.0078 Epoch 96/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0180 - mae: 0.0180 - val_loss: 0.0080 - val_mae: 0.0080 Epoch 97/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0180 - mae: 0.0180 - val_loss: 0.0102 - val_mae: 0.0102 Epoch 98/100 17/17 [==============================] - 0s 10ms/step - loss: 0.0176 - mae: 0.0176 - val_loss: 0.0122 - val_mae: 0.0122 Epoch 99/100 17/17 [==============================] - 0s 14ms/step - loss: 0.0174 - mae: 0.0174 - val_loss: 0.0109 - val_mae: 0.0109 Epoch 100/100 17/17 [==============================] - 0s 16ms/step - loss: 0.0176 - mae: 0.0176 - val_loss: 0.0068 - val_mae: 0.0068 MSE: 1.5E-04, RMSE: 0.012, MAE: 0.009, MAPE: 3.07 %, R_2: 0.922
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